|
--- |
|
dataset_info: |
|
features: |
|
- name: uid |
|
dtype: string |
|
- name: file_id |
|
dtype: string |
|
- name: audio |
|
dtype: |
|
audio: |
|
sampling_rate: 16000 |
|
- name: sentence |
|
dtype: string |
|
- name: n_segment |
|
dtype: int32 |
|
- name: duration_ms |
|
dtype: float32 |
|
- name: language |
|
dtype: string |
|
- name: sample_rate |
|
dtype: int32 |
|
- name: course |
|
dtype: string |
|
- name: sentence_length |
|
dtype: int32 |
|
- name: n_tokens |
|
dtype: int32 |
|
splits: |
|
- name: train |
|
num_bytes: 99661277809.752 |
|
num_examples: 75924 |
|
download_size: 83572532883 |
|
dataset_size: 99661277809.752 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
task_categories: |
|
- automatic-speech-recognition |
|
language: |
|
- he |
|
size_categories: |
|
- 10K<n<100K |
|
--- |
|
|
|
|
|
## Data Description |
|
|
|
Hebrew Speech Recognition dataset from [Campus IL](https://campus.gov.il/). |
|
|
|
Data was scraped from the Campus website, which contains video lectures from various courses in Hebrew. |
|
Then subtitles were extracted from the videos and aligned with the audio. |
|
Subtitles that are not on Hebrew were removed (WIP: need to remove non-Hebrew audio as well, e.g. using simple classifier). |
|
Samples with duration less than 3 second were removed. |
|
Total duration of the dataset is 152 hours. |
|
Outliers in terms of the duration/char ratio were not removed, so it's possible to find suspiciously long or short sentences compared to the duration. |
|
Note: dataset is suspiciously huge (probably original files with 22050Hz are in, too). if loading is slow, just clone it : |
|
`git clone hebrew_speech_campus && cd hebrew_speech_campus && git lfs pull` |
|
and load it from the folder `load_dataset("./hebrew_speech_campus")` |
|
|
|
## Data Format |
|
|
|
Audio files are in WAV format, 16kHz sampling rate, 16bit, mono. Ignore `path` field, use `audio.array` field value. |
|
|
|
## Data Usage |
|
```python |
|
from datasets import load_dataset |
|
|
|
ds = load_dataset("imvladikon/hebrew_speech_campus", split="train", streaming=True) |
|
print(next(iter(ds))) |
|
``` |
|
|
|
## Data Sample |
|
``` |
|
{'uid': '10c3eda27cf173ab25bde755d0023abed301fcfd', |
|
'file_id': '10c3eda27cf173ab25bde755d0023abed301fcfd_13', |
|
'audio': {'path': '/content/hebrew_speech_campus/data/from_another_angle-_mathematics_teaching_practices/10c3eda27cf173ab25bde755d0023abed301fcfd_13.wav', |
|
'array': array([ 5.54326562e-07, 3.60812592e-05, -2.35188054e-04, ..., |
|
2.34067178e-04, 1.55649337e-04, 6.32447700e-05]), |
|
'sampling_rate': 16000}, |
|
'sentence': 'ืืืืืจืื ืฆืจืืืื ืืงืืช ืขืืื ืืืจืืืช, ืืืืืืช ืืืืืืื ืื ืืืืืจ, ืืฉืื ืฆืจืื ืืืืืช ืืืืื', |
|
'n_segment': 13, |
|
'duration_ms': 6607.98193359375, |
|
'language': 'he', |
|
'sample_rate': 16000, |
|
'course': 'from_another_angle-_mathematics_teaching_practices', |
|
'sentence_length': 79, |
|
'n_tokens': 13} |
|
``` |
|
|
|
## Data Splits and Stats |
|
Split: train |
|
Number of samples: 75924 |
|
|
|
## Citation |
|
|
|
Please cite the following if you use this dataset in your work: |
|
|
|
``` |
|
@misc{imvladikon2023hebrew_speech_campus, |
|
author = {Gurevich, Vladimir}, |
|
title = {Hebrew Speech Recognition Dataset: Campus}, |
|
year = {2023}, |
|
howpublished = \url{https://huggingface.co/datasets/imvladikon/hebrew_speech_campus}, |
|
} |
|
``` |
|
|
|
|
|
|
